A practical approach to comparative design of non-contact sensing techniques for seed flow rate detection

H Karimi, H Navid, B Besharati, H Behfar… - … and electronics in …, 2017 - Elsevier
This study, as a part of a broader research project on development of a seed drill
performance monitoring system, seeks to make a practical approach to comparative design …

[HTML][HTML] Benchmarking of CNN models and mobilenet-BiLSTM approach to classification of tomato seed cultivars

K Sabanci - Sustainability, 2023 - mdpi.com
In the present study, a deep learning-based two-scenario method is proposed to distinguish
tomato seed cultivars. First, images of seeds of four different tomato cultivars (Sacher F1 …

Improving the seed detection accuracy of piezoelectric impact sensors for precision seeders. Part II: Evaluation of different plate materials

S Rossi, IR Scola, G Bourges, E Šarauskis… - … and Electronics in …, 2023 - Elsevier
Precision seeders are crucial in modern agriculture as they directly affect agricultural
productivity by ensuring the uniform distribution of seeds in the field. Any non-uniformity in …

Design and test of piezoelectric flow sensor for pneumatic seeder

Z Bo, FAN Xueqian, Z Liming, LI Yang, CHE Yu… - Nongye Jixie Xuebao …, 2020 - nyjxxb.net
Seed flow during sowing will affect the quality of sowing, which will seriously affect yield
when blockage occurs. In order to realize the fast and accurate detection of the seeding …

Improving the seed detection accuracy of piezoelectric impact sensors for precision seeders. Part I: A comparative study of signal processing algorithms

S Rossi, IR Scola, G Bourges, E Šarauskis… - … and Electronics in …, 2023 - Elsevier
One of the crucial issues in seeders and grain drills is measuring the seed flow rate and
seeding quality during the seeding operation. An impact sensor based on a piezoelectric …

Online laboratory evaluation of seeding-machine application by an acoustic technique

H Karimi, H Navid, A Mahmoudi - Spanish Journal of Agricultural …, 2015 - dialnet.unirioja.es
Researchers and planter manufacturers have been working closely to develop an
automated system for evaluating performance of seeding. In the present study, an innovative …

Detection of almond varieties using impact acoustics and artificial neural networks.

A Reshadsedghi, A Mahmoudi - 2013 - cabidigitallibrary.org
This study was conducted to detect and classify different almond varieties based on their
shell thickness and hardness by using an impact acoustic system combined with artificial …

[PDF][PDF] Design of Neural Network Predictor for the Physical Properties of Almond Nuts.

İ Eski, B Demir, F Gürbüz, Z Abidin Kuş… - Erwerbs …, 2018 - researchgate.net
In this study, an adaptive neuro fuzzy interface system (ANFIS) based predictor was
designed to predict the physical properties of four almond types. Measurements of the …

Implementación en C# de una Red Neuronal Artificial en el control locomotor de una hormiga robótica

J Párraga - Revista Tecnológica-ESPOL, 2013 - rte.espol.edu.ec
Las redes neuronales artificiales (RNA) son un campo de la inteligencia artificial (IA) que
constituyen un modelo computacional equivalente a las redes neuronales biológicas, y …

Development of artificial neural network models for seeding performance of a belt-type corn seed metering device

Q Niu, C Lu, H Li, Q Wang, H Hu, Z Wei… - 2018 ASABE Annual …, 2018 - elibrary.asabe.org
Seed planting equipment with mechanical seed metering device is commonly used for corn
in China. In order to obtain the high working effective and corn yield, it is important to plant …